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Distributed Speech Recognition Systems and Some Key Factors Affecting It''''s Performance
引用本文:YE Lei,YANG Zhen(Department of Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,P.R.China). Distributed Speech Recognition Systems and Some Key Factors Affecting It''''s Performance[J]. 中国邮电高校学报(英文版), 2003, 10(4)
作者姓名:YE Lei  YANG Zhen(Department of Information Engineering  Nanjing University of Posts and Telecommunications  Nanjing 210003  P.R.China)
作者单位:Department of Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,P.R.China
基金项目:ThisworkissupportedbytheQingLanFoundationofJiangsuProvince(No.QL0 0 3YZ) .
摘    要:1 IntroductionWiththerapiddevelopmentofInternetandmobilecommunications,theresearchonwirelessmobilenetworkshasbecomethenewhotspotinin formationtechnologyfield .Asweknow ,mobileterminals (mobilephone,forexample)arethetooltohelppeopletoaccessanyinformationtheyneedbyanymediaatanytimeandanywhere .However,itissometimesdifficultformobileterminalstoplaysucharolebecauseofthelimitationssuchaslimitedca pacity ,lowpower,andinconvenienceinoperating .So,peoplehopetofindanotherwaytoaccessnet workinformatio…


Distributed Speech Recognition Systems and Some Key Factors Affecting It''''s Performance
YE Lei,YANG Zhen. Distributed Speech Recognition Systems and Some Key Factors Affecting It''''s Performance[J]. The Journal of China Universities of Posts and Telecommunications, 2003, 10(4)
Authors:YE Lei  YANG Zhen
Abstract:In this paper we first analyze the Distributed Speech Recognition (DSR) system and the key factors that affect it's performance and then focus on the research on the relationship between the length of testing speech and the recognition accuracy of the system. Some experimental results are given at last.
Keywords:distributed speech recognition  mel cepstral coefficients  Gaussian Mixture Model (GMM) model
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